Euclidean Fundamental Value ETF

Leveraging over a decade of extensive research in the application of machine learning to long-term equity investing, Euclidean Technologies has trained a proprietary set of models – implemented as deep neural networks – to perform two tasks (1) estimate the intrinsic value of companies to find inexpensive stocks and (2) identify inexpensive stocks that are likely to underperform so they can be avoided. Euclidean uses these models to systematically construct and manage a concentrated portfolio of undervalued U.S. stocks. Details on the systematic process used to drive the investment strategy and references to the research behind it can be found in the summary and statutory prospectus of the fund.